05/05/23 – Stat – 4 ways the health care system should shift its thinking on AI, according to experts

Artificial intelligence (AI) has been making waves in various industries, and healthcare is no exception. As the potential of AI continues to unfold, experts have gathered at the recent 2023 STAT Breakthrough Summit to discuss its transformative impact on the healthcare system. Prominent figures in AI/ML: Nigam Shah, Suchi Saria, and Connor Landgraf shared their invaluable insights, shedding light on the four crucial ways in which the healthcare industry should shift its thinking regarding AI.

Amidst the increasing adoption of AI technologies, even the renowned “Godfather of AI,” Geoffrey Hinton, expressed concerns about the overwhelming power wielded by this disruptive technology. Recent months have witnessed a frenzy of efforts to harness AI in diverse sectors, and healthcare has been at the forefront of these groundbreaking endeavors.

As the boundaries of what is possible continue to be pushed, it becomes imperative for healthcare professionals, policymakers, and stakeholders to reflect on the optimal utilization of AI. This article explores the key takeaways from the discussions at the STAT Breakthrough Summit, offering insights into how the healthcare system should approach AI with a renewed mindset.

Read more about the four fundamental shifts in thinking that experts suggest are necessary for AI to truly revolutionize healthcare. By embracing these transformative concepts, the healthcare industry has the potential to unlock unprecedented advancements and redefine the standards of patient care.

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Read the Stat article

Read more about Bayesian Health’s approach to Adaptive AI

*Adams, Henry, Saria et al. Nature Medicine, 2022;
*Henry, Adams, Saria et al., Nature Medicine, 2022

 

02/28/23 The Wall Street Journal –How Doctors Use AI to Help Diagnose Patients

Thrilled to see this thoughtful discussion in the The Wall Street Journal on the important work that Bayesian Health is doing with our incredible health system partners like LifeBridge Health.

Bayesian’s platform serves as a colleague / co-pilot for doctors and nurses. It empowers clinicians with real-time care signals to manage outcomes and cost while streamlining workflows to save time.

LifeBridge clinicians are forging the path forward for what great care looks like:

• where we don’t miss any critical moments for patients,
• where we can be proactive and not reactive about patient care, and
• where we support clinicians with helpful tools to make their lives easier

We’ve already been able to see improvement in early recognition rates, reduction in treatment delays, significant reductions in length of stay, reduction in alarm fatigue and financial gain conservatively projected to the tune of ~$2Mi+ per 200 beds! And we’ve begun to expand in areas beyond sepsis!*

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Read the Wall Street Journal article

Read more about Bayesian Health’s approach to Adaptive AI

*Adams, Henry, Saria et al. Nature Medicine, 2022;
*Henry, Adams, Saria et al., Nature Medicine, 2022

12/20/22 Modern Healthcare – Navigating the ‘Wild West’ of AI adoption in healthcare

Right now, clinical AI adoption in healthcare can feel like the ‘wild west’ due to the lag in the regulator’s ability to keep pace with the dynamics within the marketplace. Consequently, health systems are taking matters into their own hands, forming internal guardrails to measure performance and substantiate AI investments across their clinical ecosystems. Ultimately, it comes down to innovation, risk-appetite and, most importantly, trust.

Our founder and CEO, Dr. Suchi Saria is quoted – “You can have the best technology in the world, but if [care teams] don’t trust it, they won’t use it, and you can’t see any benefit”.

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Read the Modern Healthcare article

Read more about Bayesian Health’s approach to Adaptive AI

11/20/22 Healthcare In Europe – Early detection of sepsis with the help of AI

Suchi Saria, PhD, director of the Machine Learning and Healthcare Lab at Johns Hopkins, who led this work, explains that TREWS automatically and continuously monitors disparate clinical data, including vital signs, laboratory data, medication history, procedure and clinical history, and physician notes. It generates a continuous real-time “sepsis score” that can trigger an alert to healthcare staff. Clinical caregivers can analyse why the TREWS alert was generated, accept or dismiss it, and initiate timely treatment on patients confirmed to be septic.

‘Our results showing high physician adoption and associated mortality and morbidity reductions are a milestone for the field of AI,’ comments Saria. ‘They are the culmination of nearly a decade of significant technological investment, deep collaboration, the development of novel techniques, and rigorous evaluation. Further, what’s most exciting here is that this approach is applicable not just to sepsis but to many other critical complications.’

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Read the Healthcare In Europe article

Read more about Bayesian Health’s approach to Adaptive AI

10/12/22 Smithsonian Magazine – A New, Transparent AI Tool May Help Detect Blood Poisoning

The most impressive aspect of TREWS, according to Zachary Lipton, an assistant professor of machine learning and operations research at Carnegie Mellon University, was not the model’s novelty, but the effort it must have taken to deploy it across five hospitals and 2,000 providers over a two-year period. “In this area, there is a tremendous amount of offline research,” Lipton said, but relatively few studies “actually make it to the level of being deployed widely in a major health system.” It’s so difficult to perform “in the wild” research like this, he added, because it requires collaborations across various disciplines, from product designers to systems engineers to administrators

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Read the Smithsonian Magazine article

Learn more about Bayesian’s peer-reviewed research on sepsis here